| Title |
Fast cortical surface reconstruction from MRI using deep learning
|
|---|---|
| Published in |
Brain Informatics, March 2022
|
| DOI | 10.1186/s40708-022-00155-7 |
| Pubmed ID | |
| Authors |
Jianxun Ren, Qingyu Hu, Weiwei Wang, Wei Zhang, Catherine S. Hubbard, Pingjia Zhang, Ning An, Ying Zhou, Louisa Dahmani, Danhong Wang, Xiaoxuan Fu, Zhenyu Sun, Yezhe Wang, Ruiqi Wang, Luming Li, Hesheng Liu |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| China | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 16 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Neuroscience | 4 | 12% |
| Engineering | 2 | 6% |
| Sports and Recreations | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 17 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2022.
All research outputs
#14,655,238
of 23,460,553 outputs
Outputs from Brain Informatics
#59
of 106 outputs
Outputs of similar age
#217,927
of 441,039 outputs
Outputs of similar age from Brain Informatics
#3
of 4 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.